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Most recent job postings at huggingface
via Jobs By Workable
schedule_type: Full-timework_from_home: 1
If you don't see the perfect job position, just apply to this one - we'll brainstorm with you to put you in position to do the best work of your life at Hugging Face!
More about Hugging Face...
We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational
If you don't see the perfect job position, just apply to this one - we'll brainstorm with you to put you in position to do the best work of your life at Hugging Face!
More about Hugging Face...
We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.
We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer 12 weeks of parental leave (20 for birthing mothers) and unlimited paid time off.
We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.
We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.
We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community Show more details...
More about Hugging Face...
We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.
We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer 12 weeks of parental leave (20 for birthing mothers) and unlimited paid time off.
We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.
We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.
We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community Show more details...
via Jobs By Workable
schedule_type: Full-timework_from_home: 1
Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.
We have built the fastest-growing, open-source, library of pre-trained models in the world. With over 130K+ models and 110K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including... leading AI organizations such as Google, Elastic,
Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.
We have built the fastest-growing, open-source, library of pre-trained models in the world. With over 130K+ models and 110K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including... leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.
About the Role
As a product marketer, you’ll play a key role in supporting our monetization efforts, developing product marketing initiatives to increase awareness of our paid solutions, and generate a sales pipeline to support our company’s exponential growth.
We are still in the early stages of the GTM of our paid solutions, and we need your help to experiment and learn about what resonates best for attracting and converting leads with product marketing. We need to develop our self-serve & sales-driven paid solutions, understand and clearly communicate the value they provide, and then convey why our community should be excited to use them and even reach out to sales to learn more! Also, since we are constantly iterating and improving, you’ll likely get called in to help develop and market new ideas before they become repeat products for us!
About You
You’ll enjoy working with us if you think strategically but have the capacity to be nimble, practical, and creative to solve problems. You should love all things marketing and be able to communicate, showcase and demo existing and new features of our paid solutions. You’ll need to be creative and thoughtful in order to build industry-specific content for our products. For example, we’ll likely need someone who can tackle a landing page on one day, write a blog post with customer references from the Healthcare industry on the next, and possibly even lead a webinar demoing one of our products for the finance industry at the end of the week.
We’d love for you to apply if:
• You have experience building a comprehensive product marketing program that uses data to drive effective results
• You have the ability to communicate complex technical topics in simple terms
• You’re scrappy and have a get-it-done mindset
• You love autonomy and can operate independently
• You are super excited to create stuff from scratch
If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another.
More about Hugging Face
We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.
We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and unlimited paid time off.
We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed.
We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.
We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community Show more details...
We have built the fastest-growing, open-source, library of pre-trained models in the world. With over 130K+ models and 110K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including... leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.
About the Role
As a product marketer, you’ll play a key role in supporting our monetization efforts, developing product marketing initiatives to increase awareness of our paid solutions, and generate a sales pipeline to support our company’s exponential growth.
We are still in the early stages of the GTM of our paid solutions, and we need your help to experiment and learn about what resonates best for attracting and converting leads with product marketing. We need to develop our self-serve & sales-driven paid solutions, understand and clearly communicate the value they provide, and then convey why our community should be excited to use them and even reach out to sales to learn more! Also, since we are constantly iterating and improving, you’ll likely get called in to help develop and market new ideas before they become repeat products for us!
About You
You’ll enjoy working with us if you think strategically but have the capacity to be nimble, practical, and creative to solve problems. You should love all things marketing and be able to communicate, showcase and demo existing and new features of our paid solutions. You’ll need to be creative and thoughtful in order to build industry-specific content for our products. For example, we’ll likely need someone who can tackle a landing page on one day, write a blog post with customer references from the Healthcare industry on the next, and possibly even lead a webinar demoing one of our products for the finance industry at the end of the week.
We’d love for you to apply if:
• You have experience building a comprehensive product marketing program that uses data to drive effective results
• You have the ability to communicate complex technical topics in simple terms
• You’re scrappy and have a get-it-done mindset
• You love autonomy and can operate independently
• You are super excited to create stuff from scratch
If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another.
More about Hugging Face
We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.
We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and unlimited paid time off.
We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed.
We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.
We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community Show more details...
via Upwork
posted_at: 3 days agoschedule_type: Contractorsalary: 20–75 an hourwork_from_home: 1
We are currently seeking a highly skilled Machine Learning Engineer with a particular expertise in deploying Stable Diffusion Models on the Hugging Face platform.
As part of our team, you will work on a project involving the deployment of state-of-the-art machine learning models. Our main aim is to utilize Stable Diffusion Models and make them accessible through Hugging Face's... infrastructure.
Responsibilities:
- Deploy Stable Diffusion Models
We are currently seeking a highly skilled Machine Learning Engineer with a particular expertise in deploying Stable Diffusion Models on the Hugging Face platform.
As part of our team, you will work on a project involving the deployment of state-of-the-art machine learning models. Our main aim is to utilize Stable Diffusion Models and make them accessible through Hugging Face's... infrastructure.
Responsibilities:
- Deploy Stable Diffusion Models on Hugging Face.
- Implement, test, and debug the models to ensure optimal performance.
- Collaborate with our team to identify the best practices for model implementation and deployment.
- Address and resolve any technical issues related to the model's deployment.
- Maintain clear and detailed documentation of all processes and implementations.
Qualifications:
- Proven experience in deploying machine learning models, preferably Stable Diffusion Models.
- Proficiency in using Hugging Face for model deployment.
- Strong knowledge of Python and common machine learning libraries.
- Familiarity with the technical aspects of AI and machine learning models.
- Excellent problem-solving skills and the ability to debug and optimize code.
- Ability to work in a team and collaborate on various tasks.
- Excellent communication and documentation skills.
Nice to Have:
- Previous experience working with generative models.
- Published research in the field of machine learning.
- Experience with GPT models.
- Please provide examples of previous machine learning projects you've worked on, and specifically any experience you have with Stable Diffusion Models and Hugging Face.
Looking forward to your applications Show more details...
As part of our team, you will work on a project involving the deployment of state-of-the-art machine learning models. Our main aim is to utilize Stable Diffusion Models and make them accessible through Hugging Face's... infrastructure.
Responsibilities:
- Deploy Stable Diffusion Models on Hugging Face.
- Implement, test, and debug the models to ensure optimal performance.
- Collaborate with our team to identify the best practices for model implementation and deployment.
- Address and resolve any technical issues related to the model's deployment.
- Maintain clear and detailed documentation of all processes and implementations.
Qualifications:
- Proven experience in deploying machine learning models, preferably Stable Diffusion Models.
- Proficiency in using Hugging Face for model deployment.
- Strong knowledge of Python and common machine learning libraries.
- Familiarity with the technical aspects of AI and machine learning models.
- Excellent problem-solving skills and the ability to debug and optimize code.
- Ability to work in a team and collaborate on various tasks.
- Excellent communication and documentation skills.
Nice to Have:
- Previous experience working with generative models.
- Published research in the field of machine learning.
- Experience with GPT models.
- Please provide examples of previous machine learning projects you've worked on, and specifically any experience you have with Stable Diffusion Models and Hugging Face.
Looking forward to your applications Show more details...
via Jobs By Workable
schedule_type: Full-timework_from_home: 1
Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.
We have built the fastest-growing, open-source, library of pre-trained models in the world. With over 130K+ models and 110K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including... leading AI organizations such as Google, Elastic,
Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.
We have built the fastest-growing, open-source, library of pre-trained models in the world. With over 130K+ models and 110K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including... leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.
Transformers in NLP pushed forward the computational requirements and the trend started to expand to other modalities such as Computer Vision and Speech which are actively adopting Transformer architectures to build the latest state-of-the-art models.
About the Role
Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models.
If you like digging into the dark side of low-level system integrations, compiler support, and framework optimizations: we should talk!
We are looking for talented people to join the Hugging Face Special Ops team, focusing on:
• Bridging 🤗 transformers models with state-of-the-art AI hardware
• Ensuring the above models meet the expected performance
• Designing easy to use and proficient Developer Experience for our users
• Deploying these models in the most efficient and scalable way.
This is an exciting opportunity to work at the edge of AI on both model architectures and hardware technologies! As additional material, you may want to take a look at the recent announcement about the collaboration with GraphCore on IPUs to get a better sense of what it means in practice 🤗.
About You
You’ll enjoy working in this team if you like digging into the dark side of low-level system integrations, compiler support, and framework optimizations. At the intersection of software engineering and machine learning, you would be in charge of integrating the latest features from our hardware partners in Python/C++, designing rich and easy Python APIs in the continuity of what Hugging Face did with transformers, tokenizers, and the datasets library with a strong focus on performances. Linux or embedded devices experience would be a great plus for the job.
More about Hugging Face
We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.
We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and unlimited paid time off.
We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed.
We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.
We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community Show more details...
We have built the fastest-growing, open-source, library of pre-trained models in the world. With over 130K+ models and 110K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including... leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.
Transformers in NLP pushed forward the computational requirements and the trend started to expand to other modalities such as Computer Vision and Speech which are actively adopting Transformer architectures to build the latest state-of-the-art models.
About the Role
Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models.
If you like digging into the dark side of low-level system integrations, compiler support, and framework optimizations: we should talk!
We are looking for talented people to join the Hugging Face Special Ops team, focusing on:
• Bridging 🤗 transformers models with state-of-the-art AI hardware
• Ensuring the above models meet the expected performance
• Designing easy to use and proficient Developer Experience for our users
• Deploying these models in the most efficient and scalable way.
This is an exciting opportunity to work at the edge of AI on both model architectures and hardware technologies! As additional material, you may want to take a look at the recent announcement about the collaboration with GraphCore on IPUs to get a better sense of what it means in practice 🤗.
About You
You’ll enjoy working in this team if you like digging into the dark side of low-level system integrations, compiler support, and framework optimizations. At the intersection of software engineering and machine learning, you would be in charge of integrating the latest features from our hardware partners in Python/C++, designing rich and easy Python APIs in the continuity of what Hugging Face did with transformers, tokenizers, and the datasets library with a strong focus on performances. Linux or embedded devices experience would be a great plus for the job.
More about Hugging Face
We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.
We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and unlimited paid time off.
We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed.
We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.
We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community Show more details...
via Upwork
posted_at: 4 days agoschedule_type: Contractorsalary: 25–70 an hourwork_from_home: 1
We are looking for a data scientist with expertise in machine learning, natural language processing, and neural networks to help us fine-tune a large language model (LLM) using the HuggingFace Trainer. The project length is expected to be between 1 to 3 months.
As a candidate, you will be expected to have a deep understanding of the latest techniques and tools for language modeling and be able... to apply them to our specific use case. Specifically,
We are looking for a data scientist with expertise in machine learning, natural language processing, and neural networks to help us fine-tune a large language model (LLM) using the HuggingFace Trainer. The project length is expected to be between 1 to 3 months.
As a candidate, you will be expected to have a deep understanding of the latest techniques and tools for language modeling and be able... to apply them to our specific use case. Specifically, you will be responsible for fine-tuning the LLM using the HuggingFace Trainer and deploying it into our existing system.
To be considered for this position, please submit a proposal outlining your experience and approach to this project. Please include links to any past projects that demonstrate your expertise in machine learning, natural language processing, and neural networks.
We look forward to hearing from you and potentially working together to achieve our goals.
Note: Some of the content in this job post may have been auto-generated using advanced AI Show more details...
As a candidate, you will be expected to have a deep understanding of the latest techniques and tools for language modeling and be able... to apply them to our specific use case. Specifically, you will be responsible for fine-tuning the LLM using the HuggingFace Trainer and deploying it into our existing system.
To be considered for this position, please submit a proposal outlining your experience and approach to this project. Please include links to any past projects that demonstrate your expertise in machine learning, natural language processing, and neural networks.
We look forward to hearing from you and potentially working together to achieve our goals.
Note: Some of the content in this job post may have been auto-generated using advanced AI Show more details...
via Jobs By Workable
schedule_type: Full-timework_from_home: 1
Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.
We have built the fastest-growing, open-source, library of pre-trained models in the world. With over 130K+ models and 110K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including... leading AI organizations such as Google, Elastic,
Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.
We have built the fastest-growing, open-source, library of pre-trained models in the world. With over 130K+ models and 110K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including... leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.
As an early member of Hugging’s Face Machine Learning Engineering Success team, you will play a critical role in driving successful technical engagements with prospects and customers and be an integral part of our overall enterprise sales process. You ask the right questions to quickly understand the customer's Machine Learning pain points and environment and articulate clearly and concisely the best possible technical solutions. You are curious and an avid learner. Most of all, you care about the customer is successful.
About the Role
• Drive early engagements with prospects
• Understand customer technical challenges and existing technology stack
• Articulate Hugging Face’s technical differentiation, integration within existing customer technical stack, and technical value prop
• Design and present technical solutions to meet customer needs
• Coordinate company-wide assets to drive technical engagements forward. Pull in relevant stakeholders (founders, eng, product, ...) as necessary
• Become a trusted technical advisor
• Ensure successful POCs
• Be the clear owner of early customer deployments and drive successful implementation
• Identify technical issues and coordinate company resources to the resolution
• Be the voice of the customer internally
• Collaborate cross-functionally with PM, Eng, Marketing, and Sales to communicate customer priorities
• Influence roadmap and GTM decisions, infusing customer priorities into every decision we make
• Evangelize Hugging Face and our vision
• Become a recognized voice of the company and spokesperson at events, meetups, and within communities
Preferred Qualifications
• 2 years of experience in a technical sales capacity is preferred, but not required. The Machine Learning Engineer could have a background in technical selling complex solutions of mission-critical data systems (databases, data warehouses), big data systems, analytics, and/or machine learning - or 3 years of building and delivering Machine Learning solutions to internal customers.
• At least 2 years of experience building NLP solutions, including 1 year with the transformers library
• Self-starter: Clear, consistent demonstration of self-starter behavior and a desire to tackle hard technical problems
• Entrepreneurial: Scrappy, self-motivated, and resourceful (Creative, Bold, Risk Taking)
• Grittiness: You never hesitate to roll up your sleeves and tackle something hands-on; you persevere when others fall away
• Customer relationship builder: Excellent at building deep relationships with prospects and customers and becoming a trusted technical advisor. Understands and prioritizes customer needs and is a respected voice of the customer within the company.
• Great communicator: Exceptional presentation and communications capabilities. Confidence presenting to a highly skilled and experienced audience, including enterprise architects and C-level executives
• Deep technical understanding: Masterful understanding of data and ML tooling, workflows, and trends in an enterprise setting
• Proficiency in Python, Spark, and SQL with experience developing NLP applications
• Bachelor’s level degree in Computer Science or relevant experience
More about Hugging Face
We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.
We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and unlimited paid time off.
We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed.
We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.
We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community Show more details...
We have built the fastest-growing, open-source, library of pre-trained models in the world. With over 130K+ models and 110K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including... leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.
As an early member of Hugging’s Face Machine Learning Engineering Success team, you will play a critical role in driving successful technical engagements with prospects and customers and be an integral part of our overall enterprise sales process. You ask the right questions to quickly understand the customer's Machine Learning pain points and environment and articulate clearly and concisely the best possible technical solutions. You are curious and an avid learner. Most of all, you care about the customer is successful.
About the Role
• Drive early engagements with prospects
• Understand customer technical challenges and existing technology stack
• Articulate Hugging Face’s technical differentiation, integration within existing customer technical stack, and technical value prop
• Design and present technical solutions to meet customer needs
• Coordinate company-wide assets to drive technical engagements forward. Pull in relevant stakeholders (founders, eng, product, ...) as necessary
• Become a trusted technical advisor
• Ensure successful POCs
• Be the clear owner of early customer deployments and drive successful implementation
• Identify technical issues and coordinate company resources to the resolution
• Be the voice of the customer internally
• Collaborate cross-functionally with PM, Eng, Marketing, and Sales to communicate customer priorities
• Influence roadmap and GTM decisions, infusing customer priorities into every decision we make
• Evangelize Hugging Face and our vision
• Become a recognized voice of the company and spokesperson at events, meetups, and within communities
Preferred Qualifications
• 2 years of experience in a technical sales capacity is preferred, but not required. The Machine Learning Engineer could have a background in technical selling complex solutions of mission-critical data systems (databases, data warehouses), big data systems, analytics, and/or machine learning - or 3 years of building and delivering Machine Learning solutions to internal customers.
• At least 2 years of experience building NLP solutions, including 1 year with the transformers library
• Self-starter: Clear, consistent demonstration of self-starter behavior and a desire to tackle hard technical problems
• Entrepreneurial: Scrappy, self-motivated, and resourceful (Creative, Bold, Risk Taking)
• Grittiness: You never hesitate to roll up your sleeves and tackle something hands-on; you persevere when others fall away
• Customer relationship builder: Excellent at building deep relationships with prospects and customers and becoming a trusted technical advisor. Understands and prioritizes customer needs and is a respected voice of the customer within the company.
• Great communicator: Exceptional presentation and communications capabilities. Confidence presenting to a highly skilled and experienced audience, including enterprise architects and C-level executives
• Deep technical understanding: Masterful understanding of data and ML tooling, workflows, and trends in an enterprise setting
• Proficiency in Python, Spark, and SQL with experience developing NLP applications
• Bachelor’s level degree in Computer Science or relevant experience
More about Hugging Face
We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.
We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and unlimited paid time off.
We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed.
We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.
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posted_at: 17 days agoschedule_type: Contractorwork_from_home: 1
I want you to create a simple AI assistant using langchain and huggingface, implemented in Google colab. You need to implement Google Flan T5, accessed from huggingface, so that it can answer basic questions. This is very easy as this script show you exactly how to do it... https://colab.research.google.com/github/pinecone-io/examples/blob/master/generation/langchain/handbook/00-langchain-intro.ipynb - see also: https://python.langchain.com/en/latest/index.html
Then,
I want you to create a simple AI assistant using langchain and huggingface, implemented in Google colab. You need to implement Google Flan T5, accessed from huggingface, so that it can answer basic questions. This is very easy as this script show you exactly how to do it... https://colab.research.google.com/github/pinecone-io/examples/blob/master/generation/langchain/handbook/00-langchain-intro.ipynb - see also: https://python.langchain.com/en/latest/index.html
Then, I want you to setup NVidia guardrails on top of it, as described here: https://github.com/NVIDIA/NeMo-Guardrails/blob/main/docs/getting_started/hello-world.md#hello-world-example
I want you to give me the script in colab, with a link to all of the directories, which should be hosted in Google Drive. This way I can take all of the code and files off you at the end and run it myself.
The work should take you less than 1 day to complete as you are only implementing code from tutorials. The pay is $300. You need at least basic English skills so we can chat. I'll be around to answer questions Show more details...
Then, I want you to setup NVidia guardrails on top of it, as described here: https://github.com/NVIDIA/NeMo-Guardrails/blob/main/docs/getting_started/hello-world.md#hello-world-example
I want you to give me the script in colab, with a link to all of the directories, which should be hosted in Google Drive. This way I can take all of the code and files off you at the end and run it myself.
The work should take you less than 1 day to complete as you are only implementing code from tutorials. The pay is $300. You need at least basic English skills so we can chat. I'll be around to answer questions Show more details...
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